Model parameters influence the performance of SVM evidently, but structuring method for parameters selecting is lacking and parameters are generally determined by crossing test.
支持向量机的参数选择对模型的性能影响很大,目前支持向量机的参数选择尚缺乏公认有效的结构化方法,参数选取依靠交叉验证得到。
Model parameters influence the performance of SVM evidently, but structuring method for parameters selecting is lacking and parameters are generally determined by crossing test.
支持向量机的参数选择对模型的性能影响很大,目前支持向量机的参数选择尚缺乏公认有效的结构化方法,参数选取依靠交叉验证得到。
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